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How Fuzzy Concepts Contribute to Machine Learning: 416 (Studies in Fuzziness and Soft Computing) - Tapa dura
Sinopsis
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.
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Acerca del autor
Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.
De la contraportada
This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.
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How Fuzzy Concepts Contribute to Machine Learning.
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Cham, Springer International Publishing., 2022
ISBN 10: 3030940659
ISBN 13: 9783030940652
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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1st ed. 2022. XII, 167 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Fuzziness and Soft Computing, 416. Sprache: Englisch. Nº de ref. del artículo: 13245DB
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How Fuzzy Concepts Contribute to Machine Learning
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Springer International Publishing, 2022
ISBN 10: 3030940659
ISBN 13: 9783030940652
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on the application of fuzzy and hesitant fuzzy sets in machine learning tasksShows how fuzzy concepts can be used to solve multi-criteria decision making challenges raised in machine learningBrings closer the communities of. Nº de ref. del artículo: 537437857
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How Fuzzy Concepts Contribute to Machine Learning
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Springer International Publishing Feb 2022, 2022
ISBN 10: 3030940659
ISBN 13: 9783030940652
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces somecontemporaryapproacheson the application offuzzy and hesitant fuzzy sets in machine learning tasks such asclassification, clustering and dimensionreduction.Manysituationsarisein machine learning algorithmsinwhichapplying methods for uncertaintymodeling andmulti-criteriadecision making can lead toabetterunderstanding ofalgorithms behavior as well as achievinggood performances.Specifically,the present book is a collection of novel viewpointson howfuzzy andhesitant fuzzy conceptscan beappliedtodata uncertainty modeling aswell asbeing used to solvemulti-criteria decisionmaking challengesraised in machine learning problems. Using the multi-criteria decisionmaking framework, the book shows how different algorithms, rather thanhuman experts,areemployedto determine membership degrees. The book is expected to bring closerthe communities of pure mathematicians of fuzzysets and data scientists. 180 pp. Englisch. Nº de ref. del artículo: 9783030940652
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How Fuzzy Concepts Contribute to Machine Learning
Publicado por
Springer International Publishing, 2022
ISBN 10: 3030940659
ISBN 13: 9783030940652
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces somecontemporaryapproacheson the application offuzzy and hesitant fuzzy sets in machine learning tasks such asclassification, clustering and dimensionreduction.Manysituationsarisein machine learning algorithmsinwhichapplying methods for uncertaintymodeling andmulti-criteriadecision making can lead toabetterunderstanding ofalgorithms behavior as well as achievinggood performances.Specifically,the present book is a collection of novel viewpointson howfuzzy andhesitant fuzzy conceptscan beappliedtodata uncertainty modeling aswell asbeing used to solvemulti-criteria decisionmaking challengesraised in machine learning problems. Using the multi-criteria decisionmaking framework, the book shows how different algorithms, rather thanhuman experts,areemployedto determine membership degrees. The book is expected to bring closerthe communities of pure mathematicians of fuzzysets and data scientists. Nº de ref. del artículo: 9783030940652
Cantidad disponible: 1 disponibles
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing, 416)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783030940652_new
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How Fuzzy Concepts Contribute to Machine Learning
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Springer International Publishing, Springer International Publishing Feb 2022, 2022
ISBN 10: 3030940659
ISBN 13: 9783030940652
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms in which applying methods for uncertainty modeling and multi-criteria decision making can lead to a better understanding of algorithms behavior as well as achieving good performances. Specifically, the present book is a collection of novel viewpoints on how fuzzy and hesitant fuzzy concepts can be applied to data uncertainty modeling as well as being used to solve multi-criteria decision making challenges raised in machine learning problems. Using the multi-criteria decision making framework, the book shows how different algorithms, rather than human experts, are employed to determine membership degrees. The book is expected to bring closer the communities of pure mathematicians of fuzzy sets and data scientists.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. Nº de ref. del artículo: 9783030940652
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How Fuzzy Concepts Contribute to Machine Learning (Studies in Fuzziness and Soft Computing, 416)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020033566
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